Residensi Duta Park

11, Jln Kuching, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales found

Median
RM1,087,000
PSF
RM706
Price Size
Period
transactions middle 50% (P25–P75)
RM1,030,000
Level 13
1,539 sqft RM669 PSF
RM1,071,000
Level 42
1,539 sqft RM696 PSF
RM1,055,000
Level 31
1,539 sqft RM685 PSF
RM1,103,000
Level 43A
1,539 sqft RM717 PSF
RM950,000
Level 31
1,539 sqft RM617 PSF
RM1,116,000
Level 52
1,539 sqft RM725 PSF
RM1,153,000
Level 57
1,539 sqft RM749 PSF
RM1,108,000
Level 47
1,539 sqft RM720 PSF
Legend Recent Highest Price Highest PSF

Selling in Residensi Duta Park? Homes here sold for a median of RM1,087,000.

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11, Jln Kuching, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Residensi Duta Park in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions between 2021 and 2026, sized between 1,525 and 1,574 sqft, with a median price of RM1.09 million and a median price per square foot (PSF) of RM706.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.09 million, with most transactions falling within a stable range of RM1.03 million to RM1.15 million, and a typical market range of RM1.05 million to RM1.12 million.

Most transactions involved serviced apartment, with minimal variety in property types.

For price per square foot, the median is RM706, with most transactions between RM668 and RM745. The usual range is RM693.79 to RM718.79, showing that most units are priced quite close to each other. A typical spread (IQR) of RM25.00 and an average deviation (MAD) of RM38 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.